Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
439 skills found
Talent Scout is an AI-powered Apify Actor for automated candidate sourcing. It scrapes LinkedIn, GitHub, and other platforms, then uses LLMs to rank and evaluate developer profiles against job requirements.
Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.
Maintain and update the MassGen model registry, including backend capabilities, model metadata, pricing structures, and context window configurations for new and existing AI models.
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
Aggressively prune grammatical scaffolding and filler text from inputs to optimize LLM token usage while retaining core semantic content.
Convert natural language queries to safe, optimized SQL. Automates database interactions with schema awareness and parameterized query generation.
Generate scaffolding for custom Minecraft Bedrock packet analyzers. Includes template code, registration guides, and packet capture workflows.
Create publication-quality plots and visualizations using matplotlib and seaborn. Works locally with any LLM.
Monitor project progress, analyze active tracks, and identify blockers within your development workspace.
Implement production-grade AI agents with LangGraph, tool-calling guardrails, SSE streaming, and episodic memory. Includes anti-patterns, fix pairs, and stateful architecture patterns.
Trace Rspack Rust function calls using LLVM XRay for performance analysis, troubleshooting, and visualization of execution flow.
Migrate standard PostgreSQL tables to TimescaleDB hypertables with optimized partitioning, chunking, and compression strategies for time-series data.